Many ranking methods have been proposed so far. However, there is yet no method that can always give a satisfactory solution to every situation; some are counterintuitive, not discriminating; some use only the local information of fuzzy values; some produce different rankings for the same situation.
Revision of distance minimization method for ranking of fuzzy numbers
โ Scribed by B. Asady
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 252 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0307-904X
No coin nor oath required. For personal study only.
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## a b s t r a c t Ranking fuzzy numbers plays an very important role in linguistic decision making and some other fuzzy application systems. Several strategies have been proposed for ranking of fuzzy numbers. Each of these techniques have been shown to produce non-intuitive results in certain case
In 2002, Chu and Tsao proposed a method to rank fuzzy numbers. They employed an area between the centroid and original points to rank fuzzy numbers; however there were some problems with the ranking method. In this paper, we want to indicate these problems of Chu and Tsao's method, and then propose